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| Registros recuperados: 284 | |
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| Simmons, Phil; Edwards, Miriam; Byrnes, Joel. |
| A theoretical optimal hedging model is developed to determine potential demand from Australian farmers for a hedging tool to remove the economic consequences of climate related variability in wheat yield. In the past, financial instruments have been developed to hedge price risk on capital markets; however, in more recent times new financial instruments, weather derivatives, have been developing that hedge the volumetric risk associated with unfavourable weather. Weather derivatives have the ability to effectively hedge weather related volume risk for the agricultural, mining, energy and manufacturing industries, while also providing a risk management tool for construction firms and special events organisers, although there are still many hurdles to... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Weather derivatives; Risk; Hedging; Wheat; Crop Production/Industries; Risk and Uncertainty. |
| Ano: 2007 |
URL: http://purl.umn.edu/9262 |
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| Roucan-Kane, Maud; Boehlje, Michael; Gray, Allan W.; Akridge, Jay T.. |
| The objective of this paper is to present the teaching note of a case study. The case study outlines the strategic issues facing Excel Cooperative as a result of the rapid expansion of biofuel production capacity in the Midwestern U.S. Excel Cooperative is a mid-sized, ‘local’, farmer-owned cooperative serving farmers in north central Indiana. Excel is composed of four divisions: agronomy, energy, grain, and feed/livestock. With the Excel case, the reader must think strategically about the broad impacts of the biofuel “boom”, apply strategic management tools and decision-making under uncertainty concepts to better understand the impacts, and frame a response. The methodology proposed in the teaching note is composed of a SWOT analysis, scorecarding and... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Uncertainty; Risk; Heat mapping; Scorecarding; Scenario analysis; Payoff matrix; Decision tree; Real option; Traps; Agribusiness; D81. |
| Ano: 2009 |
URL: http://purl.umn.edu/53584 |
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| Lybbert, Travis J.. |
| Potential poverty traps among the rural poor suggest a need to reduce poor farmers' vulnerability by stabilizing crop yields and limiting yield losses. Advances in agricultural biotechnology enable breeders to address this need more directly than ever before with crops that reduce production risk by tolerating climate fluctuation or resisting biotic stresses. Will poor farmers who could benefit most from less vulnerability choose to purchase such risk-reducing seeds? I use data from a household survey and experiment involving farmers in India to infer their valuation of changes in the mean, variance, and skewness of yield distributions. I conclude that these farmers value increases in expected yield in the yield distribution but seem indifferent about... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Poverty; Risk; Biotechnology; Experimental Economics; Farm Management; C9; D8; O1; Q1. |
| Ano: 2005 |
URL: http://purl.umn.edu/19160 |
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| Watkins, K. Bradley; Hignight, Jeffrey A.; Anders, Merle M.. |
| This study evaluated the impacts of farm size and stochastic return variability on no-till (NT) rice profitability at the whole-farm level. Mixed integer programming was used to determine optimal machinery complements, fuel consumption, and machinery labor requirements for conventional till (CT) and NT rice-soybean farms of 1200, 2400, and 3600 acres in size. Crop yields, market prices, and prices for key production inputs were simulated to construct stochastic whole-farm net returns for each farm size under CT and NT management, and both first and second degree stochastic dominance analysis were used to rank cumulative distribution functions of whole-farm returns according to specified risk preferences. The results indicate NT farms exhibit second degree... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Mixed integer programming; No-till; Profitability; Rice; Risk; Simulation; Stochastic dominance; Whole-farm; Farm Management; Production Economics; Risk and Uncertainty. |
| Ano: 2011 |
URL: http://purl.umn.edu/98733 |
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| Roucan-Kane, Maud; Boehlje, Michael; Gray, Allan W.; Akridge, Jay T.. |
| The dramatic changes occurring throughout the agriculture industry are creating an increasingly turbulent business climate for the sector. The objective of this paper is to present a methodology to understand, assess, evaluate, and manage uncertainty. Five methods are discussed: scenario analysis, scorecarding and heat mapping, payoff matrix, decision tree, and options portfolio mapping. Scenario analysis can help identify the alternative futures that may unfold. Scorecarding and heat mapping assessment tools can be used to assess and map the uncertainties, and decide which uncertainties the company should capitalize on and which projects could be pursued to exploit those uncertainties. Payoff matrices and decision trees (using real option valuation)... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Uncertainty; Risk; Heat mapping; Scorecarding; Scenario analysis; Payoff matrix; Decision tree; Real option; Traps; Agribusiness; D81. |
| Ano: 2009 |
URL: http://purl.umn.edu/55465 |
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| Santos, Paulo; Barrett, Christopher B.. |
| Fieldwork for this paper was conducted under the Pastoral Risk Management (PARIMA) project of the Global Livestock Collaborative Research Support Program (GL CRSP), funded by the Office of Agriculture and Food Security, Global Bureau, USAID, under grant number DAN-1328-G-00-0046-00, and analysis was underwritten by the USAID SAGA cooperative agreement, grant number HFM-A-00-01-00132-00. Financial support was also provided by the Social Science Research Council's Program in Applied Economics on Risk and Development (through a grant from the John D. and Catherine T. MacArthur Foundation), The Pew Charitable Trusts (through the Christian Scholars Program of the University of Notre Dame), the Fundação para a Ciência e Tecnologia (Portugal), and the Graduate... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Risk; Informal insurance; Social networks; Poverty traps; Ethiopia; Risk and Uncertainty; Z13; I3; O13. |
| Ano: 2006 |
URL: http://purl.umn.edu/25487 |
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| Dunn, Jerry W.; Williams, Jeffery R.. |
| Farm-level, cross-section and panel data were used with econometric methods to examine relationships between variability in net farm income and explanatory variables including government payments, gross crop income, gross livestock income, costs, efficiency measures, and other socioeconomic characteristics such as age, leverage, percent of land rented, and enterprise diversification. The results suggest that quantifying the impacts of socioeconomic factors on variability of net farm income is difficult. Among the income variables, changes in gross crop income had the largest impact. Among cross-section data, increases in interest costs, age, and diversification were found to have positive relationships with net income variability. However, only the... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Diversification; Farm planning; Panel data; Risk; Tobit; Agricultural Finance; Farm Management. |
| Ano: 2000 |
URL: http://purl.umn.edu/36337 |
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| Johnson, C. Scott; Foster, Kenneth A.. |
| Much of the increase use of vertical coordination in the U.S. swine industry has taken place through contract production. While the incidence of contracting is much higher in nontraditional hog production areas, a growing number of Midwestern producers are being faced with contract options. A variety of contractual arrangements are available through feed companies, integrators, genetics firms, and packers. However, little is known about the profitability and risk characteristics of these alternatives. This research suggests that risk neutral producers in the Midwest would prefer independent production, and risk averse producers would prefer to choose among the various types of coordination arrangements. |
| Tipo: Journal Article |
Palavras-chave: Stochastic dominance; Risk; Contract production; Swine; Livestock Production/Industries. |
| Ano: 1994 |
URL: http://purl.umn.edu/15166 |
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| Registros recuperados: 284 | |
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